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Feedforward architectures driven by inhibitory interactions.

Yazan N Billeh1,2, Michael T Schaub3,4,5

  • 1Computation and Neural Systems Program, California Institute of Technology, Pasadena, CA, USA. yazanb@alleninstitute.org.

Journal of Computational Neuroscience
|November 16, 2017
PubMed
Summary
This summary is machine-generated.

Directed information transmission in neural systems can be achieved with random excitatory connections. This is possible by assigning an active role to inhibitory neurons, broadening network architecture assumptions.

Keywords:
Feedforward networksInformation propagationInhibitory feedbackLeaky-integrate-and-fireNeural networks

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Network Science

Background:

  • Directed information transmission is crucial for complex systems, including neural networks.
  • Traditional feedforward network models primarily focus on excitatory neurons and their wiring, with inhibitory neurons mainly serving a stabilizing function.
  • Recent discoveries highlight the diversity and active roles of inhibitory neurons in brain circuitry.

Purpose of the Study:

  • To investigate if feedforward network activity can be generated with random excitatory connectivity.
  • To explore the potential for inhibitory neurons to play a more active role in directed information transmission.
  • To broaden the understanding of network architectures capable of producing feedforward dynamics.

Main Methods:

  • Computational modeling of neural networks.
  • Simulating network activity with varying roles for inhibitory neurons.
  • Analyzing information flow and network dynamics under different connectivity patterns.

Main Results:

  • Demonstrated that feedforward activity can emerge even with random excitatory neuron connectivity.
  • Showed that active inhibitory neurons can drive directed information transmission.
  • Identified a broader range of network architectures capable of producing feedforward dynamics than previously assumed.

Conclusions:

  • Inhibitory neurons can actively shape network dynamics to enable directed information transmission.
  • Feedforward activity in neural systems is not solely dependent on specific excitatory wiring patterns.
  • The findings expand the architectural principles underlying information processing in the brain.